Senior AI Engineer
Design, build, and deploy production-grade AI-driven systems and agents within enterprise environments. Implement evaluation frameworks, observability, and monitoring to ensure system accuracy, performance, and scalability.
Design, build, and deploy production-grade AI-driven systems and agents within enterprise environments. Implement evaluation frameworks, observability, and monitoring to ensure system accuracy, performance, and scalability.
You will serve as a senior technical contributor on client-facing data engineering engagements, architecting and building scalable data solutions. Additionally, you will mentor junior engineers and establish engineering standards such as DataOps, automated testing, and pipeline observability.
You will lead the delivery of a marketing data platform by acting as the primary bridge between marketing stakeholders and a distributed engineering team. Your role involves translating business needs into technical requirements, managing project roadmaps, and ensuring the final data solutions provide actionable insights.
You will serve as the hands-on technical lead for client-facing data engineering engagements, owning the architecture and build process. Additionally, you will mentor junior engineers, establish DataOps standards, and ensure the delivery of scalable, reliable data solutions.
You will collaborate with Fortune 100 clients to architect and implement secure, scalable cloud-native solutions while leading application migration projects. Additionally, you will serve as a technical advisor, mentor junior engineers, and contribute to the company's knowledge-sharing culture.
Evaluate and enhance customer cloud infrastructure, security, and automation while supporting application migration to cloud-native architectures. Design and manage CI/CD pipelines and provide expert guidance on cloud best practices through direct customer engagement.